Abstract: A request may be received to transform records in a data lake that match one or more query criteria. Data lake records that match the criteria may be retrieved. The retrieved records may include two data lake records associated with the same data lake record identifier. A transformed record may be generated based on time stamps associated with the retrieved records.

Abstract: A method and system uses a test cloud system for monitoring cloud to cloud performance. The method includes initiating a first trust relationship by the test cloud system with a first target cloud system, receiving a success indicator for the trust relationship, in response to the first target cloud verifying the test cloud system is whitelisted, generating a security token using a private key of the test cloud system, and invoking a function of an application programming interface of the first target cloud using the security token to validate functionality of the function of the application programming interface of the first target cloud.

Abstract: A method of syncing data across multiple systems includes: receiving a plurality of calendar events from a plurality of independent calendar systems that use different calendar system specific schemas; aggregating the calendar events at a unifying communication system; converting the calendar events from a calendar system specific schema to a unifying communication system specific schema; storing the plurality of calendar events in the unifying communication system specific schema; converting a calendar event received from a non-master calendar system to the master calendar system specific schema; and sending the converted calendar event to the master calendar system; wherein copies of the received calendar events that are formatted according to the calendar system specific schema of the master calendar system are stored with the master calendar system, and copies of the calendar events that are formatted according to the unifying communication system specific schema are stored with the unifying communication

Abstract: A method of syncing data across multiple systems includes: receiving a plurality of calendar events from a plurality of independent calendar systems that use different calendar system specific schemas; aggregating the calendar events at a unifying communication system; converting the calendar events from a calendar system specific schema to a unifying communication system specific schema; storing the plurality of calendar events in the unifying communication system specific schema; converting a calendar event received from a non-master calendar system to the master calendar system specific schema; and sending the converted calendar event to the master calendar system; wherein copies of the received calendar events that are formatted according to the calendar system specific schema of the master calendar system are stored with the master calendar system, and copies of the calendar events that are formatted according to the unifying communication system specific schema are stored with the unifying communication

Abstract: A data lake partition identifier may be retrieved from a data lake update service. The data lake partition identifier may identify a partition of a data lake that stores a data lake records. Records may be retrieved using a query that includes one of the identifiers. Retrieved records may be transformed and transmitted to a downstream data service.

Abstract: A request may be received to transform records in a data lake that match one or more query criteria. Data lake records that match the criteria may be retrieved. The retrieved records may include two data lake records associated with the same data lake record identifier. A transformed record may be generated based on time stamps associated with the retrieved records.

Abstract: Systems and methods are provided for batch processing of data records in an on-demand system. A marker is stored that identifies a node in an on-demand system and identifies a most recent data record processed in a relational database management system by the node. The marker is used to query the database management system to identify a batch of records for the node to process. The batch of records is processed by the node to update a client of data changes reflected by the batch of records.

Abstract: Systems and methods are provided for batch processing of data records in an on-demand system. A marker is stored that identifies a node in an on-demand system and identifies a most recent data record processed in a relational database management system by the node. The marker is used to query the database management system to identify a batch of records for the node to process. The batch of records is processed by the node to update a client of data changes reflected by the batch of records.